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Vol. 10, Issue 2 (2021)

Genetic variability for quantitative and qualitative traits of radish (Raphanus sativus L.)

Author(s):
Vinay Kumar Mashkey, Balaji Vikram and KR Maurya
Abstract:
The present investigation entitled Genetic Variability for Quantitative and Qualitative traits of Radish which was carried out during 2019-2020 at the Horticultural Research Farm, of Department of Horticulture, AKS University, Sherganj, Satna (M.P.). Seeds were sown directly in the field on of 15th October, 2019 at a spacing of 30.0 x 10.0 cm in a plot of 1.80 x 1.20 m2 size. There were five rows in each plot. Each genotype was sown in a Random Block Design (RBD) with three replications. Twelve radish genotype were evaluated to estimate, Genetic Variability, Genetic Heritability and Genetic Advance to six Quantitative and two Qualitative traits. The overall values of GCV lower then the PCV for all the traits. The mean sum of square due to treatment was found significant for all the characters on the basis of analysis of variance which suggested the presence of sufficient variability in radish genotypes. The phenotypic coefficient of variance (PCV) was slightly higher in magnitude than genotypic coefficient of variance (GCV) for all the characters studied which suggests that the phenotypic expression of characters is largely influenced by the prevailing environmental conditions. The estimates of heritability were recorded high for the characters namely, number of leaves per plant, length of root, fresh weight of leaves per plant, plant spread and root yield indicating that these characters are governed by additive gene effect and are less influenced by environment and hence, selection for these characters, if found positively associated with yield will be beneficial in improvement of radish.
Pages: 636-638  |  267 Views  79 Downloads


The Pharma Innovation Journal
How to cite this article:
Vinay Kumar Mashkey, Balaji Vikram, KR Maurya. Genetic variability for quantitative and qualitative traits of radish (Raphanus sativus L.). Pharma Innovation 2021;10(2):636-638.
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